Inclusive AI in Research: Are We Building Fair Tools or Scaling Invisible Bias?

AI is now embedded across the research process, from data handling and analysis through to insight generation and storytelling. But as adoption accelerates, a critical question is emerging: are we improving research, or simply scaling its biases faster?

This session brings together experts in AI ethics, applied insight practice and research leadership to explore what it really takes to build responsible, ethical and inclusive AI systems in research. Moving beyond principles and policy, we focus on the practical reality of how AI tools are designed, deployed and governed in real workflows.

We will examine where bias is introduced in AI-enabled research, how inclusion can be designed into tools from the outset rather than checked at the end, and what accountability looks like when AI becomes part of how insight is created.

A candid, practice-led discussion for researchers navigating the opportunities and risks of AI and shaping what “responsible use” really means in action.

Cover why people should book on

• Gather a shared understanding of what responsible and inclusive AI in research means in practice, including how bias, accountability and inclusion show up across tools, workflows and organisational decisions
• Clear insight into where AI introduces or amplifies bias across the research process, from data and automation through to analysis, interpretation and reporting
• Practical perspectives on how organisations are already using and governing AI in real environments, including workflow adoption, tool use, and how responsible AI principles are being applied when selecting and deploying AI systems

Speakers

Sabrina Trinquetel is an Account Manager at YouGov, working at the intersection of data, insight and client strategy. She specialises in turning data into meaningful, commercially useful insight, with a strong focus on inclusion, diversity and the future of research practice.

She sits on the MRS EDI Council (Voices4All) and MRS AIA Council, and is Co-Chair of MRS Pride, actively contributing to industry conversations on responsible and inclusive research. Her work explores how emerging technologies, including AI, are reshaping how insight is created, and what it means to ensure research remains representative, ethical and robust in a rapidly changing landscape.

Reema Patel, AI Governance Specialist